{"id":"W2161379091","doi":"10.1109/crv.2012.64","title":"3D Town: The Automatic Urban Awareness Project","year":2012,"lang":"en","type":"article","venue":"","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Context (archaeology); Key (lock); Animation; Computer vision; 3D city models; Artificial intelligence; Real-time computing; Computer graphics (images); Visualization; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001622539,0.00102867,0.0006193697,0.0008712549,0.0007431064,0.001953055,0.001277022,0.0009338079,0.01374183],"category_scores_gemma":[0.001218012,0.0006702784,0.000702714,0.0008938454,0.0006778364,0.001905193,0.002890554,0.001226129,0.005019909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005532588,"about_ca_system_score_gemma":0.001234408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003976624,"about_ca_topic_score_gemma":0.004768105,"domain_scores_codex":[0.9990149,0.0002670228,0.00002288363,0.0002795987,0.0003092176,0.0001064355],"domain_scores_gemma":[0.9994302,0.0001074696,0.00002048988,0.0001915117,0.0001036439,0.0001465994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00194694,0.001037418,0.008050431,0.0004121224,0.000166612,0.0009192604,0.001487609,0.04544671,0.05186763,0.0495281,0.2367579,0.6023793],"study_design_scores_gemma":[0.000668638,0.0006868562,0.006557257,0.00009023411,0.00009135002,0.0006930509,0.0006057382,0.2421142,0.03701662,0.01692032,0.6944013,0.0001544881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09756209,0.001136129,0.6529723,0.001460243,0.0009552552,0.001382137,0.01578063,0.1303018,0.09844946],"genre_scores_gemma":[0.298616,0.0008468314,0.6022266,0.0004003386,0.0001581522,0.001449532,0.03825377,0.007691429,0.05035729],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01374183,"threshold_uncertainty_score":0.04597098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05767770730193764,"score_gpt":0.3376661842952506,"score_spread":0.2799884769933129,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}